Hello, My name is Sunny Solanki and in this video tutorial, I explain how to build an AI object detection web app using the Python library "Streamlit". I build a simple app in the tutorial that lets the user upload an image and the app detects objects present in it. The app draws bounding boxes around each object and adds labels as well. For the object detection task, I have used a pre-trained object detection model named Faster R-CNN available from PyTorch. I end up creating a web app in less than 60 lines of code.
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CODE - [ Ссылка ]
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Useful Tutorials:
* PyTorch Object Detection Tutorial - [ Ссылка ]
* GluonCV Object Detection Tutorial - [ Ссылка ]
* Streamlit Basic Dashboard - [ Ссылка ]
* Streamlit Dashboard with Tabs - [ Ссылка ]
* PyTorch Object Detection Pre-trained Models - [ Ссылка ]
* COCO Dataset - [ Ссылка ]
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Social:
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